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IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
__________________________________________________________________________________________
Volume: 02 Issue: 06 | Jun-2013, Available @ http://www.ijret.org 1038
WIRELESS SENSOR NETWORK USING ZIGBEE
Nidhi Patel1
, Hiren Kathiriya2
, Arjav Bavarva3
1, 2, 3
Assistant Professor, EC Department, RK University, Gujarat, India,
nidhi.patel@rku.ac.in, hiren.kathiriya@rku.ac.in, arjav.bavarva@rku.ac.in
Abstract
A wireless sensor network (WSN) consists of sensors which are densely distributed to monitor physical or environmental conditions,
such as temperature, sound, pressure, etc. The sensor data is transmitted to network coordinator which is heart of the wireless
personal area network. In the modern scenario wireless networks contains sensors as well as actuators. ZigBee is newly developed
technology that works on IEEE standard 802.15.4, which can be used in the wireless sensor network (WSN). The low data rates, low
power consumption, low cost are main features of ZigBee. WSN is composed of ZigBee coordinator (network coordinator), ZigBee
router and ZigBee end device. The sensor nodes information in the network will be sent to the coordinator, the coordinator collects
sensor data, stores the data in memory, process the data, and route the data to appropriate node.
Index Terms: WSN, ZigBee.
-----------------------------------------------------------------------***-----------------------------------------------------------------------
1. INTRODUCTION
Wireless sensor network is a technology for wide range of
wireless environments. Recently more research work has been
done in direction to develop wireless network that works on
low power, low data rate, low cost personal area network.
Many organization has develop WSNs for smart home, smart
farm, smart hospital for patient monitoring, for traffic
monitoring in VANET, fire monitoring in smart cities. The
importance and application has been increased by the recent
delivery of the IEEE 802.15.4 standard and the forthcoming
ZigBee standard. The ZigBee Alliance has developed very
low-cost, very low-power consumption, wireless
communications standard for network and application layer to
fulfill the demand of automation and remote control
applications. IEEE 802.15.4 committee started working on a
low data rate standard a short while later for physical and
MAC sub layer. Then the ZigBee Alliance and the IEEE
decided to join forces and ZigBee is the commercial name for
this technology.
ZigBee is expected to provide low cost and low power
connectivity for equipment that needs very long battery life as
several months to several years but does not require data
transfer rates as high as those enabled by Bluetooth. Also
ZigBee can be implemented larger networks than is possible
with Bluetooth. ZigBee compliant wireless devices are operate
in the unlicensed RF worldwide (2.4GHz global, 915MHz
Americas or 868 MHz Europe). The data rate is 250kbps at
2.4GHz, 40kbps at 915MHz and 20kbps at 868MHz.
2. WSN
A wireless sensor network is a collection of nodes. Each node
consists of processing capability (one or more MCUs or DSP
chips), multiple types of memory (program, data and flash
memories), a RF transceiver, a power source (batteries), and
accommodates various sensors and actuators [11]. The nodes
communicate wirelessly and often self-organize after being
deployed in an ad hoc fashion. A WSN is a distributed real-
time system. Most past distributed systems research has
assumed that the systems are wired, have unlimited power, are
not real time, have a fixed set of resources, treat each node in
the system as very important and are location independent. In
contrast, for wireless sensor networks, the systems are
wireless, have scarce power, are real-time, utilize sensors and
actuators as interfaces, have dynamically changing sets of
resources, aggregate behavior is important and location is
critical. Many wireless sensor networks also utilize minimal
capacity devices which places a further strain on the ability to
use past solutions. Usually these devices are small and
inexpensive, so that they can be produced and deployed in
large numbers, and so their resources in terms of energy,
memory, computational speed and bandwidth are severely
constrained. There are different Sensors such as pressure,
accelerometer, camera, thermal, microphone, etc. They
monitor conditions at different locations, such as temperature,
humidity, vehicular movement, lightning condition, pressure,
soil makeup, noise levels, the presence or absence of certain
kinds of objects, mechanical stress levels on attached objects,
the current characteristics such as speed, direction and size of
an object. Normally these Sensor nodes consist there
components: sensing, processing and communicating.
Wireless Sensor Networks (WSNs) are traditionally composed
of multiple sensor nodes that sense environmental phenomena
and generate sensor readings that are delivered, typically,
through multi-hop paths, to a specific node (called the sink)
for collection [6].
IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
__________________________________________________________________________________________
Volume: 02 Issue: 06 | Jun-2013, Available @ http://www.ijret.org 1039
Fig -1: Traditional Wireless Sensor Network [9]
3. SENSOR AND SENSOR NODE
Sensor is a device that receives and responds to a signal or
stimulus. It is an element that senses a variation in input
energy to produce a variation in another or same form of
energy. A sensor (also called detector) is a converter that
measures a physical quantity and converts it into a signal
which can be read by an observer or by an instrument. For
example thermocouple converts temperature to an output
voltage which can be read by a voltmeter. For accuracy, most
sensors are calibrated against known standards. A sensor is a
device which receives and responds to a signal when touched.
A sensor's sensitivity indicates how much the sensor's output
changes when the measured quantity changes. Sensors that
measure very small changes must have very high sensitivities.
Sensors need to be designed to have a small effect on what is
measured; making the sensor smaller often improves this and
may introduce other advantages. Technological progress
allows more and more sensors to be manufactured on a
microscopic scale as micro sensors using MEMS technology.
In most cases, a micro sensor reaches a significantly higher
speed and sensitivity compared with macroscopic approaches
[10].
The low cost sensors are densely deployed in WSN, which
collect environmental data. The environment can be monitored
and controlled by the use of sensors and actuators in WSN.
Sensor nodes have various energy and computational
constraints because of their inexpensive nature and ad-hoc
method of deployment [8].
Recently research has been developed at energy efficient
routing. The sensor nodes are small and distributed, which are
capable of local processing and wireless communication. Each
sensor node is capable of only a limited amount of processing.
But when coordinated with the information from a large
number of other nodes, they have the ability to measure a
given physical environment in great detail. Thus, a sensor
network can be described as a collection of sensor nodes
which co-ordinate to perform some specific action. Unlike
traditional networks, sensor networks depend on dense
deployment and co-ordination to carry out their tasks. The
multiple sensor nodes are required to overcome environmental
obstacles like obstructions, line of sight constraints etc. The
environment to be monitored has an ad-hoc infrastructure for
communication. Another requirement for sensor networks
would be distributed processing capability because
communication is a major consumer of energy [8].
Fig.-2: System architecture of a typical wireless sensor node
A sensor node consists of four sub-systems [8]:
3.1 Computing Subsystem
It consists of a microcontroller unit. This controls the sensor
data and executes communication protocols. MCU’s are
operated under various operating modes of power
management, for long battery life purpose.
3.2 Communication Subsystem
It consists of a short range radio frequency transceiver, which
is used to communicate with neighboring nodes within cluster
and the outside the cluster. The transceiver can operate under
the Transmit, Receive, Idle and Sleep modes. Power
consumed by the node can be reduced by keeping the node in
sleep mode when it is not transmitting or receiving.
3.3 Sensing Subsystem
This subsystem has wireless sensor nodes and actuators that
form the WSN. In addition it is having a sink node that
connects WSN to internet or another network.
3.4 Power Supply Subsystem
This subsystem consists of battery that supplies power to the
node. A battery should be used at rated current capacity is
lesser than the minimum energy consumption required for
sensor node that leads to the lower battery lifetimes. The
battery lifetime can be increased by reducing the current and
turning node off when not transmitting and receiving. Also the
power consumed by the sensor nodes can be reduced by
applying energy efficient routing algorithm for networks.
IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
__________________________________________________________________________________________
Volume: 02 Issue: 06 | Jun-2013, Available @ http://www.ijret.org 1040
4. BLOCK DIAGRAM OF WSN
The block diagram of wireless sensor network of the project is
as shown figure below. The ultrasonic proximity sensor is
connected to SPI of a controller 89v51 through buffer
IC74LS125. The ZigBee module-1 (Tarang F4) is also
connected to SPI via buffer. They are communicating
alternatively via buffer IC. The temperature sensor LM35 is
connected to port-1 via ADC-0804. The LCD is connected to
port-2 of MCU. ZigBee module-1 is communicating to ZigBee
module-2 (Tarang F4) via wireless radio link. The ZigBee
module-2 is connected to PC via RS-232 cable. The sensing
data is displayed on the LCD then to PC Hyper-terminal.
The ultrasonic proximity sensor is used to measure the
distance of any stationary object. The sensor data is captured
at serial port of an MCU. This data is stored in MCU memory
as well as displayed on LCD. The sensor can measure distance
minimum 10cm and maximum 400cm (4m). If distance is less
then 10cm the message is displayed on LCD that distance is
lesser then min range. The data pin of ultrasonic proximity
sensor is connected to RXD pin of MCU through buffer. The
data received on RXD pin by the MCU is in ASCII format at
data rate of 9600 baud rate. The received data format is
XXX.XXcm<CR>, where X is ‘0’ to ‘9’ ASCII character and
<CR> is carriage return where the string terminates.
The temperature sensor LM-35 is used to sense the
environmental temperature. The Vout pin of LM-35 is
connected to Vin pin of ADC for analog to digital
conversation. The 8 bit digital output DB0 to DB7 is
connected to port1 of MCU. The temperature reading of 8 bit
stored inside MCU memory. The LM35 is precision
integrated-circuit temperature sensor, whose output voltage is
linearly proportional to the Celsius (Centigrade) temperature.
This will require a voltmeter to sense the temperature. Vout
can be measured by voltmeter. The output voltage is converted
to temperature by a simple conversion factor. The sensor has a
sensitivity of 10mV/ . Hence conversion factor is the
reciprocal, and that is 100 /V. The general equation used to
convert output voltage to temperature is:
So if Vout is 1V, then, Temperature = 100 . The output
voltage varies linearly with temperature. Temperature reading
is also displayed on LCD with the distance reading.
ZigBee module1 is connected to MCU via SPI. The Dout pin
of ZigBee module is connected to RXD pin of MCU via buffer
IC and Din pin of ZigBee module is connected to TXD pin of
MCU. Both the sensor data can be transfer to Zigbee module1
through wired connection. This sensor data is transferred to
ZigBee module to via radio link. ZigBee module2 is
connected to COM port of PC via RS232 cable. The same
sensors reading displayed on the LCD can be displayed on PC
in hyper terminal. Here the network formed by both the
ZigBee module is unicast network, communication between
two nodes only. For unicast network it needs to assign source
address and destination address for both of the ZigBee
module. The Zigbee module used in this project is Tarang-F4
module, which works on 3.3v to 3.6v operating voltage and
ISM 2.4 GHz band of frequency.
Fig- 3: Block diagram of wireless sensor network
5. ZIGBEE/IEEE STANDARD 802.15.4
ZigBee is a worldwide open standard for wireless radio
networks in the monitoring and control fields. The standard
was developed by the ZigBee Alliance (an association of
international companies) to meet the following principal
needs:
 Low cost
 Ultra-low power consumption
 Use of unlicensed radio bands
 Cheap and easy installation
 Flexible and extendable networks
 Integrated intelligence for network set-up and
message routing
Some of the above requirements are related - for example, the
need for extremely low power consumption is motivated by
the use of battery-powered nodes which can be installed
cheaply and easily, without any power cabling, in difficult
locations.
The IEEE 802.15.4 standard defines the characteristics of the
physical and MAC layers for Low-Rate Wireless Personal
Area Networks (LR-WPAN). The figure shows a generic LR-
WPAN node architecture. The node architecture is defined
into a number of structural blocks called layers. Each layer
implements a subset of the LR-WPAN standard and offers
services to its upper layers and gets services from its lower
layers. The layered architecture of each network node
IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
__________________________________________________________________________________________
Volume: 02 Issue: 06 | Jun-2013, Available @ http://www.ijret.org 1041
comprises Physical (PHY) layer and Medium Access Control
(MAC) sublayer. On top of these layers is the Service Specific
Convergence Sublayer (SSCS) which interfaces the MAC
sublayer to the logical link control sublayer and other upper
layers such as the networking layer which provides network
configuration, manipulation and message routing,and
application layer, which provides intended function of device.
The LR-WPANs standards are defined only for the physical
layer and medium access control sublayer while other layers’
specifications are undefined in the standards [1].
Fig. -4: Node architecture of LR-WPAN device [1, 7]
The physical layer provides two services: the PHY data
service and PHY management service interfacing to the
Physical Layer Management Entity (PLME). The PHY data
service enables the transmission and reception of PHY
Protocol Data Units (PPDU) across the physical radio channel.
The physical layer of IEEE 802.15.4 is in charge of the
following tasks [5]:
 Activation and deactivation of the radio transceiver
 Energy Detection (ED)
 Link Quality Indication (LQI)
 Clear Channel Assessment (CCA)
 Channel Frequency Selection
The IEEE 802.15.4 offers three operational frequency bands:
2.4 GHz (worldwide), 915(North America) MHz and
868(Europe) MHz. There is a single channel between 868 and
868.6 MHz (20 kbit/s) 10 channels between 902 and 928 MHz
(40 kbit/s), and 16 channels between 2.4 and 2.4835 GHz (250
kbit/s). The protocol also allows dynamic channel selection, a
channel scan function in search of a beacon, receiver energy
detection, link quality indication and channel switching. All of
these frequency bands are based on the Direct Sequence
Spread Spectrum (DSSS) spreading technique. The 2450 MHz
band employs Offset Quadrature Phase Shift Keying (O-
QPSK) for modulation while the 868/915 MHz bands rely on
Binary Phase Shift Keying (BPSK) [2].
Fig. -5: Frequency band and channel assignment
The MAC sub layer provides two services: the MAC data
service and the MAC management service interfacing to the
MAC sub layer Management Entity (MLME) Service Access
Point (SAP) (MLME-SAP). The MAC data service enables
the transmission and reception of MAC Protocol Data Units
(MPDU) across the PHY data service. The features of MAC
sub layer are beacon management, channel access control
through the Carrier Sense Multiple Access with Collision
Avoidance (CSMA/CA) scheme, collision-free time slots
management, frame validation, acknowledged frame delivery
and node association and disassociation [1]
6. ZIGBEE NETWORK TOPOLOGIES
The message is routed from one network node to another
depends on the network topology. A ZigBee network can
adopt one of the three topologies: Star, Tree, and Mesh.
6.1 Star Topology
A Star network has a central node, which is linked to all other
nodes in the network. All messages travel via the central node.
IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
__________________________________________________________________________________________
Volume: 02 Issue: 06 | Jun-2013, Available @ http://www.ijret.org 1042
Fig. -6: Star topology [4]
6.2 Tree Topology
A Tree network has a top node with a branch/leaf structure
below. To reach its destination, a message travels up the tree
(as far as necessary) and then down the tree.
Fig. -7: Tree topology [4]
6.3 Mesh Topology
A Mesh network has a tree-like structure in which some leaves
are directly linked. Messages can travel across the tree, when a
suitable route is available.
Fig. -8: Mesh topology [4]
CONCLUSIONS
A Wireless sensor network is flexible in nature and has very
good features like fault tolerance, High sensing fidelity, low
cost etc. which can be very useful to develop exciting
applications for remote sensing but the realization of sensor
networks needs to satisfy the constraints introduced by factors
such as fault tolerance, scalability, cost, hardware, topology
change, environment and power consumption. As we know
these constraints are highly stringent and specific for sensor
networks, some new wireless ad hoc networking techniques
are required.
REFERENCES
[1]. Hussein T. Mouftah Khaled A. Ali, "Wireless personal
area networks architecture and protocols for multimedia
applications," Ad Hoc Networks, vol. 9, pp. 675–686, 2011.
[2]. Prashant Pillai, Vince W.C. Chook, Stefano Chessa,
Alberto Gotta,Y. Fun Hu Paolo Baronti, "Wireless sensor
networks: A survey on the state of the art and the 802.15.4 and
ZigBee standards," Computer Communications, vol. 30, pp.
1655–1695, 2007.
[3]. ZigBee Alliance, ZigBee Specification, January.2008,
ZigBee Document 053474r17.
[4] http://www.jennic.com/elearning/zigbee/files/html/module
1/ module1-3.htm.
[5]. Ricardo Augusto Rodrigues da Silva Severino, "On the
use of IEEE 802.15.4/ZigBee for Time-Sensitive Wireless
Sensor Network Applications," Polytechnic Institute of Porto,
2008.
[6]. F. Cuomo et al., Cross-layer network formation for
energy-efficient IEEE 802.15.4/ZigBee Wireless Sensor
Networks, Ad Hoc Netw. (2011).
[7]. Standard for part 15.4: Wireless MAC and PHY
specifications for low rate WPAN, IEEE Std 802.15.4, IEEE,
New York, NY (Oct 2003).
[8]. Vijay Anand Sai Ponduru Archana Bharathidasan,
"Sensor Networks: An Overview," Department of Computer
Science, University of California, Davis, CA 95616,.
[9]. http://monet.postech.ac.kr/research.html.
[10]. http://en.wikipedia.org/wiki/Sensor.
[11]. John A. Stankovic, "Wireless Sensor Networks,"
University of Virginia, Charlottesville, Virginia, 2006.
[12]. M. Martalò, G. Ferrari P. Medagliani, "Clustered Zigbee
networks with data fusion: Characterization," Ad Hoc
Networks, vol. 9, pp. 1083–1103, 2011.
[13]. Ioannis Tsetsinas, Eirini Karapistoli,Fotini-Niovi
Pavlidou Ioannis Gragopoulos, "FP-MAC: A distributed MAC
algorithm for 802.15.4-like wireless sensor networks," Ad Hoc
Networks, vol. 6, pp. 953–969, 2008.
[14]. Jonas Olsson Johan Lönn, "ZigBee for wireless
networking," Linköping University, Master Thesis work 2005.
[15]. F. L. LEWIS, "Wireless Sensor Networks," The
University of Texas, Arlington, research report.

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Wireless sensor network using zigbee

  • 1. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163 __________________________________________________________________________________________ Volume: 02 Issue: 06 | Jun-2013, Available @ http://www.ijret.org 1038 WIRELESS SENSOR NETWORK USING ZIGBEE Nidhi Patel1 , Hiren Kathiriya2 , Arjav Bavarva3 1, 2, 3 Assistant Professor, EC Department, RK University, Gujarat, India, nidhi.patel@rku.ac.in, hiren.kathiriya@rku.ac.in, arjav.bavarva@rku.ac.in Abstract A wireless sensor network (WSN) consists of sensors which are densely distributed to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. The sensor data is transmitted to network coordinator which is heart of the wireless personal area network. In the modern scenario wireless networks contains sensors as well as actuators. ZigBee is newly developed technology that works on IEEE standard 802.15.4, which can be used in the wireless sensor network (WSN). The low data rates, low power consumption, low cost are main features of ZigBee. WSN is composed of ZigBee coordinator (network coordinator), ZigBee router and ZigBee end device. The sensor nodes information in the network will be sent to the coordinator, the coordinator collects sensor data, stores the data in memory, process the data, and route the data to appropriate node. Index Terms: WSN, ZigBee. -----------------------------------------------------------------------***----------------------------------------------------------------------- 1. INTRODUCTION Wireless sensor network is a technology for wide range of wireless environments. Recently more research work has been done in direction to develop wireless network that works on low power, low data rate, low cost personal area network. Many organization has develop WSNs for smart home, smart farm, smart hospital for patient monitoring, for traffic monitoring in VANET, fire monitoring in smart cities. The importance and application has been increased by the recent delivery of the IEEE 802.15.4 standard and the forthcoming ZigBee standard. The ZigBee Alliance has developed very low-cost, very low-power consumption, wireless communications standard for network and application layer to fulfill the demand of automation and remote control applications. IEEE 802.15.4 committee started working on a low data rate standard a short while later for physical and MAC sub layer. Then the ZigBee Alliance and the IEEE decided to join forces and ZigBee is the commercial name for this technology. ZigBee is expected to provide low cost and low power connectivity for equipment that needs very long battery life as several months to several years but does not require data transfer rates as high as those enabled by Bluetooth. Also ZigBee can be implemented larger networks than is possible with Bluetooth. ZigBee compliant wireless devices are operate in the unlicensed RF worldwide (2.4GHz global, 915MHz Americas or 868 MHz Europe). The data rate is 250kbps at 2.4GHz, 40kbps at 915MHz and 20kbps at 868MHz. 2. WSN A wireless sensor network is a collection of nodes. Each node consists of processing capability (one or more MCUs or DSP chips), multiple types of memory (program, data and flash memories), a RF transceiver, a power source (batteries), and accommodates various sensors and actuators [11]. The nodes communicate wirelessly and often self-organize after being deployed in an ad hoc fashion. A WSN is a distributed real- time system. Most past distributed systems research has assumed that the systems are wired, have unlimited power, are not real time, have a fixed set of resources, treat each node in the system as very important and are location independent. In contrast, for wireless sensor networks, the systems are wireless, have scarce power, are real-time, utilize sensors and actuators as interfaces, have dynamically changing sets of resources, aggregate behavior is important and location is critical. Many wireless sensor networks also utilize minimal capacity devices which places a further strain on the ability to use past solutions. Usually these devices are small and inexpensive, so that they can be produced and deployed in large numbers, and so their resources in terms of energy, memory, computational speed and bandwidth are severely constrained. There are different Sensors such as pressure, accelerometer, camera, thermal, microphone, etc. They monitor conditions at different locations, such as temperature, humidity, vehicular movement, lightning condition, pressure, soil makeup, noise levels, the presence or absence of certain kinds of objects, mechanical stress levels on attached objects, the current characteristics such as speed, direction and size of an object. Normally these Sensor nodes consist there components: sensing, processing and communicating. Wireless Sensor Networks (WSNs) are traditionally composed of multiple sensor nodes that sense environmental phenomena and generate sensor readings that are delivered, typically, through multi-hop paths, to a specific node (called the sink) for collection [6].
  • 2. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163 __________________________________________________________________________________________ Volume: 02 Issue: 06 | Jun-2013, Available @ http://www.ijret.org 1039 Fig -1: Traditional Wireless Sensor Network [9] 3. SENSOR AND SENSOR NODE Sensor is a device that receives and responds to a signal or stimulus. It is an element that senses a variation in input energy to produce a variation in another or same form of energy. A sensor (also called detector) is a converter that measures a physical quantity and converts it into a signal which can be read by an observer or by an instrument. For example thermocouple converts temperature to an output voltage which can be read by a voltmeter. For accuracy, most sensors are calibrated against known standards. A sensor is a device which receives and responds to a signal when touched. A sensor's sensitivity indicates how much the sensor's output changes when the measured quantity changes. Sensors that measure very small changes must have very high sensitivities. Sensors need to be designed to have a small effect on what is measured; making the sensor smaller often improves this and may introduce other advantages. Technological progress allows more and more sensors to be manufactured on a microscopic scale as micro sensors using MEMS technology. In most cases, a micro sensor reaches a significantly higher speed and sensitivity compared with macroscopic approaches [10]. The low cost sensors are densely deployed in WSN, which collect environmental data. The environment can be monitored and controlled by the use of sensors and actuators in WSN. Sensor nodes have various energy and computational constraints because of their inexpensive nature and ad-hoc method of deployment [8]. Recently research has been developed at energy efficient routing. The sensor nodes are small and distributed, which are capable of local processing and wireless communication. Each sensor node is capable of only a limited amount of processing. But when coordinated with the information from a large number of other nodes, they have the ability to measure a given physical environment in great detail. Thus, a sensor network can be described as a collection of sensor nodes which co-ordinate to perform some specific action. Unlike traditional networks, sensor networks depend on dense deployment and co-ordination to carry out their tasks. The multiple sensor nodes are required to overcome environmental obstacles like obstructions, line of sight constraints etc. The environment to be monitored has an ad-hoc infrastructure for communication. Another requirement for sensor networks would be distributed processing capability because communication is a major consumer of energy [8]. Fig.-2: System architecture of a typical wireless sensor node A sensor node consists of four sub-systems [8]: 3.1 Computing Subsystem It consists of a microcontroller unit. This controls the sensor data and executes communication protocols. MCU’s are operated under various operating modes of power management, for long battery life purpose. 3.2 Communication Subsystem It consists of a short range radio frequency transceiver, which is used to communicate with neighboring nodes within cluster and the outside the cluster. The transceiver can operate under the Transmit, Receive, Idle and Sleep modes. Power consumed by the node can be reduced by keeping the node in sleep mode when it is not transmitting or receiving. 3.3 Sensing Subsystem This subsystem has wireless sensor nodes and actuators that form the WSN. In addition it is having a sink node that connects WSN to internet or another network. 3.4 Power Supply Subsystem This subsystem consists of battery that supplies power to the node. A battery should be used at rated current capacity is lesser than the minimum energy consumption required for sensor node that leads to the lower battery lifetimes. The battery lifetime can be increased by reducing the current and turning node off when not transmitting and receiving. Also the power consumed by the sensor nodes can be reduced by applying energy efficient routing algorithm for networks.
  • 3. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163 __________________________________________________________________________________________ Volume: 02 Issue: 06 | Jun-2013, Available @ http://www.ijret.org 1040 4. BLOCK DIAGRAM OF WSN The block diagram of wireless sensor network of the project is as shown figure below. The ultrasonic proximity sensor is connected to SPI of a controller 89v51 through buffer IC74LS125. The ZigBee module-1 (Tarang F4) is also connected to SPI via buffer. They are communicating alternatively via buffer IC. The temperature sensor LM35 is connected to port-1 via ADC-0804. The LCD is connected to port-2 of MCU. ZigBee module-1 is communicating to ZigBee module-2 (Tarang F4) via wireless radio link. The ZigBee module-2 is connected to PC via RS-232 cable. The sensing data is displayed on the LCD then to PC Hyper-terminal. The ultrasonic proximity sensor is used to measure the distance of any stationary object. The sensor data is captured at serial port of an MCU. This data is stored in MCU memory as well as displayed on LCD. The sensor can measure distance minimum 10cm and maximum 400cm (4m). If distance is less then 10cm the message is displayed on LCD that distance is lesser then min range. The data pin of ultrasonic proximity sensor is connected to RXD pin of MCU through buffer. The data received on RXD pin by the MCU is in ASCII format at data rate of 9600 baud rate. The received data format is XXX.XXcm<CR>, where X is ‘0’ to ‘9’ ASCII character and <CR> is carriage return where the string terminates. The temperature sensor LM-35 is used to sense the environmental temperature. The Vout pin of LM-35 is connected to Vin pin of ADC for analog to digital conversation. The 8 bit digital output DB0 to DB7 is connected to port1 of MCU. The temperature reading of 8 bit stored inside MCU memory. The LM35 is precision integrated-circuit temperature sensor, whose output voltage is linearly proportional to the Celsius (Centigrade) temperature. This will require a voltmeter to sense the temperature. Vout can be measured by voltmeter. The output voltage is converted to temperature by a simple conversion factor. The sensor has a sensitivity of 10mV/ . Hence conversion factor is the reciprocal, and that is 100 /V. The general equation used to convert output voltage to temperature is: So if Vout is 1V, then, Temperature = 100 . The output voltage varies linearly with temperature. Temperature reading is also displayed on LCD with the distance reading. ZigBee module1 is connected to MCU via SPI. The Dout pin of ZigBee module is connected to RXD pin of MCU via buffer IC and Din pin of ZigBee module is connected to TXD pin of MCU. Both the sensor data can be transfer to Zigbee module1 through wired connection. This sensor data is transferred to ZigBee module to via radio link. ZigBee module2 is connected to COM port of PC via RS232 cable. The same sensors reading displayed on the LCD can be displayed on PC in hyper terminal. Here the network formed by both the ZigBee module is unicast network, communication between two nodes only. For unicast network it needs to assign source address and destination address for both of the ZigBee module. The Zigbee module used in this project is Tarang-F4 module, which works on 3.3v to 3.6v operating voltage and ISM 2.4 GHz band of frequency. Fig- 3: Block diagram of wireless sensor network 5. ZIGBEE/IEEE STANDARD 802.15.4 ZigBee is a worldwide open standard for wireless radio networks in the monitoring and control fields. The standard was developed by the ZigBee Alliance (an association of international companies) to meet the following principal needs:  Low cost  Ultra-low power consumption  Use of unlicensed radio bands  Cheap and easy installation  Flexible and extendable networks  Integrated intelligence for network set-up and message routing Some of the above requirements are related - for example, the need for extremely low power consumption is motivated by the use of battery-powered nodes which can be installed cheaply and easily, without any power cabling, in difficult locations. The IEEE 802.15.4 standard defines the characteristics of the physical and MAC layers for Low-Rate Wireless Personal Area Networks (LR-WPAN). The figure shows a generic LR- WPAN node architecture. The node architecture is defined into a number of structural blocks called layers. Each layer implements a subset of the LR-WPAN standard and offers services to its upper layers and gets services from its lower layers. The layered architecture of each network node
  • 4. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163 __________________________________________________________________________________________ Volume: 02 Issue: 06 | Jun-2013, Available @ http://www.ijret.org 1041 comprises Physical (PHY) layer and Medium Access Control (MAC) sublayer. On top of these layers is the Service Specific Convergence Sublayer (SSCS) which interfaces the MAC sublayer to the logical link control sublayer and other upper layers such as the networking layer which provides network configuration, manipulation and message routing,and application layer, which provides intended function of device. The LR-WPANs standards are defined only for the physical layer and medium access control sublayer while other layers’ specifications are undefined in the standards [1]. Fig. -4: Node architecture of LR-WPAN device [1, 7] The physical layer provides two services: the PHY data service and PHY management service interfacing to the Physical Layer Management Entity (PLME). The PHY data service enables the transmission and reception of PHY Protocol Data Units (PPDU) across the physical radio channel. The physical layer of IEEE 802.15.4 is in charge of the following tasks [5]:  Activation and deactivation of the radio transceiver  Energy Detection (ED)  Link Quality Indication (LQI)  Clear Channel Assessment (CCA)  Channel Frequency Selection The IEEE 802.15.4 offers three operational frequency bands: 2.4 GHz (worldwide), 915(North America) MHz and 868(Europe) MHz. There is a single channel between 868 and 868.6 MHz (20 kbit/s) 10 channels between 902 and 928 MHz (40 kbit/s), and 16 channels between 2.4 and 2.4835 GHz (250 kbit/s). The protocol also allows dynamic channel selection, a channel scan function in search of a beacon, receiver energy detection, link quality indication and channel switching. All of these frequency bands are based on the Direct Sequence Spread Spectrum (DSSS) spreading technique. The 2450 MHz band employs Offset Quadrature Phase Shift Keying (O- QPSK) for modulation while the 868/915 MHz bands rely on Binary Phase Shift Keying (BPSK) [2]. Fig. -5: Frequency band and channel assignment The MAC sub layer provides two services: the MAC data service and the MAC management service interfacing to the MAC sub layer Management Entity (MLME) Service Access Point (SAP) (MLME-SAP). The MAC data service enables the transmission and reception of MAC Protocol Data Units (MPDU) across the PHY data service. The features of MAC sub layer are beacon management, channel access control through the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) scheme, collision-free time slots management, frame validation, acknowledged frame delivery and node association and disassociation [1] 6. ZIGBEE NETWORK TOPOLOGIES The message is routed from one network node to another depends on the network topology. A ZigBee network can adopt one of the three topologies: Star, Tree, and Mesh. 6.1 Star Topology A Star network has a central node, which is linked to all other nodes in the network. All messages travel via the central node.
  • 5. IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163 __________________________________________________________________________________________ Volume: 02 Issue: 06 | Jun-2013, Available @ http://www.ijret.org 1042 Fig. -6: Star topology [4] 6.2 Tree Topology A Tree network has a top node with a branch/leaf structure below. To reach its destination, a message travels up the tree (as far as necessary) and then down the tree. Fig. -7: Tree topology [4] 6.3 Mesh Topology A Mesh network has a tree-like structure in which some leaves are directly linked. Messages can travel across the tree, when a suitable route is available. Fig. -8: Mesh topology [4] CONCLUSIONS A Wireless sensor network is flexible in nature and has very good features like fault tolerance, High sensing fidelity, low cost etc. which can be very useful to develop exciting applications for remote sensing but the realization of sensor networks needs to satisfy the constraints introduced by factors such as fault tolerance, scalability, cost, hardware, topology change, environment and power consumption. As we know these constraints are highly stringent and specific for sensor networks, some new wireless ad hoc networking techniques are required. REFERENCES [1]. Hussein T. Mouftah Khaled A. Ali, "Wireless personal area networks architecture and protocols for multimedia applications," Ad Hoc Networks, vol. 9, pp. 675–686, 2011. [2]. Prashant Pillai, Vince W.C. Chook, Stefano Chessa, Alberto Gotta,Y. Fun Hu Paolo Baronti, "Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards," Computer Communications, vol. 30, pp. 1655–1695, 2007. [3]. ZigBee Alliance, ZigBee Specification, January.2008, ZigBee Document 053474r17. [4] http://www.jennic.com/elearning/zigbee/files/html/module 1/ module1-3.htm. [5]. Ricardo Augusto Rodrigues da Silva Severino, "On the use of IEEE 802.15.4/ZigBee for Time-Sensitive Wireless Sensor Network Applications," Polytechnic Institute of Porto, 2008. [6]. F. Cuomo et al., Cross-layer network formation for energy-efficient IEEE 802.15.4/ZigBee Wireless Sensor Networks, Ad Hoc Netw. (2011). [7]. Standard for part 15.4: Wireless MAC and PHY specifications for low rate WPAN, IEEE Std 802.15.4, IEEE, New York, NY (Oct 2003). [8]. Vijay Anand Sai Ponduru Archana Bharathidasan, "Sensor Networks: An Overview," Department of Computer Science, University of California, Davis, CA 95616,. [9]. http://monet.postech.ac.kr/research.html. [10]. http://en.wikipedia.org/wiki/Sensor. [11]. John A. Stankovic, "Wireless Sensor Networks," University of Virginia, Charlottesville, Virginia, 2006. [12]. M. Martalò, G. Ferrari P. Medagliani, "Clustered Zigbee networks with data fusion: Characterization," Ad Hoc Networks, vol. 9, pp. 1083–1103, 2011. [13]. Ioannis Tsetsinas, Eirini Karapistoli,Fotini-Niovi Pavlidou Ioannis Gragopoulos, "FP-MAC: A distributed MAC algorithm for 802.15.4-like wireless sensor networks," Ad Hoc Networks, vol. 6, pp. 953–969, 2008. [14]. Jonas Olsson Johan Lönn, "ZigBee for wireless networking," Linköping University, Master Thesis work 2005. [15]. F. L. LEWIS, "Wireless Sensor Networks," The University of Texas, Arlington, research report.